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Article information
2023 , Volume 28, ¹ 6, p.135-150
Popova A.K.
Preparation of initial data for forest resource models based on remote sensing data
Models for forest dynamic allow estimating different scenarios of ecosystem change, which are necessary for making decisions on reforestation, planning for logging, forest protection and conservation measures. The initial data for such models usually comprises of the data on the distribution of trees of certain species and age in the study area. The paper proposes a methodology for processing data from open sources, which can be used to prepare initial data for forest resource models. Different sources of initial data for models are compared.
Keywords: satellite data, forest resource models, forest dynamics simulation, remote sensing data
Author(s):
Popova Anastasiya Konstantinovna
PhD.
Position: Senior Research Scientist
Office: Institute for System Dynamics and Control Theory of SB RAS
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45 31 13
E-mail: chudnenko@icc.ru
SPIN-code: 8859-6658
Bibliography link:
Popova A.K. Preparation of initial data for forest resource models based on remote sensing data // Computational technologies. 2023. V. 28. ¹ 6. P. 135-150
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